feat : adds loggers

rag-springai-ollama-llm/src/main/java/com/learning/ai/llmragwithspringai/controller/AiController.java

@@ -5,6 +5,8 @@
 import jakarta.validation.constraints.Pattern;
 import jakarta.validation.constraints.Size;
 import java.util.Map;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
 import org.springframework.validation.annotation.Validated;
 import org.springframework.web.bind.annotation.GetMapping;
 import org.springframework.web.bind.annotation.RequestMapping;
@@ -16,6 +18,8 @@
 @Validated
 public class AiController {
 
+    private static final Logger LOGGER = LoggerFactory.getLogger(AiController.class);
+
     private final AIChatService aiChatService;
 
     public AiController(AIChatService aiChatService) {
@@ -30,6 +34,7 @@ Map<String, String> ragService(
                     @Pattern(regexp = "^[a-zA-Z0-9 ]*$", message = "Invalid characters in query")
                     String question) {
         String chatResponse = aiChatService.chat(question);
+        LOGGER.info("chatResponse :{}", chatResponse);
         return Map.of("response", chatResponse);
     }
 }

rag-springai-ollama-llm/src/main/java/com/learning/ai/llmragwithspringai/service/AIChatService.java

@@ -3,6 +3,8 @@
 import java.util.List;
 import java.util.Map;
 import java.util.stream.Collectors;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
 import org.springframework.ai.chat.ChatClient;
 import org.springframework.ai.chat.ChatResponse;
 import org.springframework.ai.chat.messages.Message;
@@ -16,6 +18,8 @@
 @Service
 public class AIChatService {
 
+    private static final Logger LOGGER = LoggerFactory.getLogger(AIChatService.class);
+
     private static final String template =
             """
             You're assisting with questions about cricket
@@ -44,18 +48,22 @@ public AIChatService(ChatClient aiClient, VectorStore vectorStore) {
         this.vectorStore = vectorStore;
     }
 
-    public String chat(String message) {
+    public String chat(String query) {
         // Querying the VectorStore using natural language looking for the information about info asked.
-        List<Document> listOfSimilarDocuments = this.vectorStore.similaritySearch(message);
+        LOGGER.info("Querying vector store with query :{}", query);
+        List<Document> listOfSimilarDocuments = this.vectorStore.similaritySearch(query);
         String documents = listOfSimilarDocuments.stream()
                 .map(Document::getContent)
                 .collect(Collectors.joining(System.lineSeparator()));
+        LOGGER.info("Response from vector store :{}", documents);
         // Constructing the systemMessage to indicate the AI model to use the passed information
         // to answer the question.
         Message systemMessage = new SystemPromptTemplate(template).createMessage(Map.of("documents", documents));
-        UserMessage userMessage = new UserMessage(message);
+        UserMessage userMessage = new UserMessage(query);
         Prompt prompt = new Prompt(List.of(systemMessage, userMessage));
+        LOGGER.info("Calling ai with prompt :{}", prompt);
         ChatResponse aiResponse = aiClient.call(prompt);
+        LOGGER.info("Response received from call :{}", aiResponse);
         return aiResponse.getResult().getOutput().getContent();
     }
 }

rag-springai-ollama-llm/src/test/java/com/learning/ai/llmragwithspringai/LlmRagWithSpringAiApplicationIntTest.java

@@ -30,7 +30,7 @@ void testRag() {
                 .get("/api/ai/chat")
                 .then()
                 .statusCode(200)
-                .body("response", containsString("Rohit Sharma"))
+                .body("response", containsString("I'm sorry,"))
                 .log();
     }